/*
 * Copyright 2015 Red Hat, Inc. and/or its affiliates.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * 
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
*/

package org.drools.beliefs.bayes;

public class Marginalizer {

    public Marginalizer(BayesVariable[]  srcVars, double[] srcPotentials, BayesVariable var,
                        double[] varDistribution) {
        BayesVariable[]  trgVars = new BayesVariable[] { var };

        int[] trgVarPos = PotentialMultiplier.createSubsetVarPos(srcVars, trgVars);
        int trgVarNumberOfStates = PotentialMultiplier.createNumberOfStates(trgVars);
        int[] trgVarMultipliers = PotentialMultiplier.createIndexMultipliers(trgVars, trgVarNumberOfStates);

        BayesProjection p = new BayesProjection(srcVars, srcPotentials, trgVarPos, trgVarMultipliers, varDistribution);
        p.project();
    }
}
